Instructions to use howdyaendra/xblock-social-screenshots-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use howdyaendra/xblock-social-screenshots-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="howdyaendra/xblock-social-screenshots-2") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("howdyaendra/xblock-social-screenshots-2") model = AutoModelForImageClassification.from_pretrained("howdyaendra/xblock-social-screenshots-2") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Image Classification
Validation Metrics
loss: 0.9948348999023438
f1_macro: 0.23526955685803672
f1_micro: 0.5823986194995686
f1_weighted: 0.5233223208450835
precision_macro: 0.2973178657776674
precision_micro: 0.5823986194995686
precision_weighted: 0.5462756602202016
recall_macro: 0.24224828041633692
recall_micro: 0.5823986194995686
recall_weighted: 0.5823986194995686
accuracy: 0.5823986194995686
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